re-Searcher
re-Searcher: VCF-Based Genomic Data Mining and Analysis
re-Searcher processes and analyzes genomic Variant Call Format (VCF) files to enable efficient mining of high-throughput sequencing datasets.
Key Features:
- VCF Data Processing: Parses and analyzes Variant Call Format (VCF) files for genomic variant data extraction.
- Chunk-Based Pre-processing: Processes large VCF files in segmented chunks to reduce RAM usage and maintain computational efficiency on limited-memory systems.
Scientific Applications:
- Genomic Variant Analysis: Supports variant identification, population genetics studies, personalized medicine research, and large-scale high-throughput sequencing projects.
Methodology:
Implements segmented pre-processing of VCF files by dividing datasets into manageable chunks, minimizing memory consumption while enabling comprehensive genomic data analysis.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- desktop application
- Programming Languages:
- Python
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Karabayev D, Molkenov A, Yerulanuly K, Kabimoldayev I, Daniyarov A, Sharip A, Ashenova A, Zhumadilov Z, Kairov U. re-Searcher: GUI-based bioinformatics tool for simplified genomics data mining of VCF files. PeerJ. 2021;9:e11333. doi:10.7717/peerj.11333. PMID:33987016. PMCID:PMC8101456.
DOI: 10.7717/PEERJ.11333
PMID: 33987016
PMCID: PMC8101456
Funding: - Committee of Science, Ministry of Education and Science of the Republic of Kazakhstan: AP05135430, AP05136106, AP08855353, PTF No. BR05236508
Links
Repository
https://github.com/LabBandSB/re-SearcherIssue tracker
https://github.com/LabBandSB/re-Searcher/issues